Processing of Partial Discharge Signals with 3D Spectrogram Generation
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Resource Overview
A comprehensive program for partial discharge signal analysis, implementing algorithms to generate 3D spectrograms displaying discharge count, phase angle, and discharge magnitude relationships with signal processing techniques.
Detailed Documentation
This program specializes in processing partial discharge signals and generating comprehensive three-dimensional spectrograms that visualize the relationships between discharge count, phase angle, and discharge magnitude. Through advanced signal processing algorithms and statistical analysis methods, the application enables researchers to effectively analyze and interpret partial discharge phenomena. The implementation includes wavelet transform for noise reduction, peak detection algorithms for discharge identification, and interpolation techniques for smooth 3D surface rendering. This analytical tool significantly enhances the understanding of insulation system behavior, ultimately contributing to improved performance and reliability of high-voltage electrical equipment. The codebase features modular architecture with dedicated functions for data preprocessing, feature extraction, and visualization components.
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- 1 Credits